PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. abunai yoo yuuten nya na ? %mov:"20029"_487902_489569 FAT · japanese_ishii/20029.cha, line 284 · Jun 2;00
  2. un, piipiipii@o tte bakkusuru toki nan nya nee pipii te . %mov:"20029"_795230_795230 FAT · japanese_ishii/20029.cha, line 471 · Jun 2;00
  1. FATaa, sonna shiten no,, ojichan ga . %mov:"20029"_485307_487090
    CHIn ? %mov:"20029"_487090_487902
    FAT*FAT: abunai yoo yuuten nya na ? %mov:"20029"_487902_489569
    CHIoe a ? %mov:"20029"_489569_497317
    FATsono ojichan ? %mov:"20029"_497317_498925
  2. FATpiipii@o ka ? %mov:"20029"_792731_793528
    CHIpipii ya . %mov:"20029"_793528_795230
    FAT*FAT: un, piipiipii@o tte bakkusuru toki nan nya nee pipii te . %mov:"20029"_795230_795230
    CHIbakku ? %mov:"20029"_799011_800547
    FATun, bakkubakkuu no toki ni piipii@o te naru nee ? %mov:"20029"_800547_803712

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. nya2 · 100.0%